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Titlebook: Data Science Thinking; The Next Scientific, Longbing Cao Book 2018 Springer International Publishing AG, part of Springer Nature 2018 Data

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樓主
發(fā)表于 2025-3-21 18:20:33 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Science Thinking
副標題The Next Scientific,
編輯Longbing Cao
視頻videohttp://file.papertrans.cn/264/263071/263071.mp4
概述Offers a unique breadth of coverage, providing a comprehensive study of data science, technology and economy perspectives..Presents rich and deep thinking and insights of data-driven research, innovat
叢書名稱Data Analytics
圖書封面Titlebook: Data Science Thinking; The Next Scientific, Longbing Cao Book 2018 Springer International Publishing AG, part of Springer Nature 2018 Data
描述.Thisbook explores answers to the fundamental questions driving the research,innovation and practices of the latest revolution in scientific, technologicaland economic development: how does data science transform existing science,technology, industry, economy, profession and education? How does one remaincompetitive in the data science field??What is responsible for shaping themindset and skillset of data scientists?. .DataScience Thinking.?paintsa comprehensive picture of data science as a new scientific paradigm from thescientific evolution perspective, as data science thinking from thescientific-thinking perspective, as a trans-disciplinary science from thedisciplinary perspective, and as a new profession and economy from the businessperspective.. . .
出版日期Book 2018
關鍵詞Data science; Data economy; Data education; Data profession; Big data analytics; Advanced analytics; Data
版次1
doihttps://doi.org/10.1007/978-3-319-95092-1
isbn_softcover978-3-030-06975-9
isbn_ebook978-3-319-95092-1Series ISSN 2520-1859 Series E-ISSN 2520-1867
issn_series 2520-1859
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:10:09 | 只看該作者
https://doi.org/10.1007/978-3-642-27632-3The art of data science [.] has increasingly attracted interest from a wide range of domains and disciplines. Communities or proposers from diverse backgrounds have often had contrasting aspirations, and have accordingly presented very different views or demonstrated contrasting foci.
板凳
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地板
發(fā)表于 2025-3-22 07:22:17 | 只看該作者
Complexes and First-Row Transition ElementsWhat are the greatest challenges of big data and data science? This question itself is problematic as data science is at a very early stage and has been built on existing disciplines. This chapter explores this important issue.
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發(fā)表于 2025-3-22 09:14:13 | 只看該作者
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發(fā)表于 2025-3-22 17:50:30 | 只看該作者
Complexes and First-Row Transition ElementsIn the age of analytics, data analytics and learning form a comprehensive spectrum and evolutionary map that cover.
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發(fā)表于 2025-3-23 00:03:28 | 只看該作者
Complexes and First-Row Transition ElementsData science and big data analytics have led to next-generation economy innovation, competition and productivity [288], as typically shown by the rapidly updated big data landscape [26].
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發(fā)表于 2025-3-23 02:33:59 | 只看該作者
Complexes and First-Row Transition ElementsIn principle, data science can be applied to any application area or business domain. However, data science projects are intrinsically different from ordinary software development and IT projects.
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發(fā)表于 2025-3-23 07:45:19 | 只看該作者
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